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Role: Creator & Full-stack Engineer Status: MVP in Beta (Internal Testing)

Tech Stack Breakdown:

• Full-Stack Framework: Remix, React18
• Shopify Integration: Shopify App Bridge (@shopify/app-bridge-react), Polaris UI (@shopify/polaris)
• Data & AI Layer: Prisma ORM, OpenAI API
• Styling & Tooling: TailwindCSS, TypeScript, Vite </aside>

1. The Problem: "The SEO Tagging Nightmare"

For Shopify merchants, manually tagging thousands of products is a tedious, low-leverage task.

• Inconsistency: Humans often use spammy, irrelevant, or overly generic tags (e.g., "good", "new"), which hurt SEO.
• Lack of Strategy: Merchants don't know which tags actually drive traffic.
• Time Sink: Tagging a catalog of 100+ items can take hours of manual data entry.

2. The Solution: An AI SEO Consultant, Not Just a Bot

I built an intelligent SaaS platform that doesn't just "write tags", it analyzes, scores, and optimizes them before they ever touch the database.

• Context-Aware Analysis: The AI understands product semantics (Material, Usage, Target Audience) based on the title and description.
• Quality Control: It actively filters out "Stop Words" and spammy keywords to ensure clean metadata.

3. Live Workflow Demo

AI Auto-tagging

TagWise-generateTag-ezgif.com-gif-maker.mp4

AI Tag Scoring

score.mov

4. Key Product Features (The "Product Engineer" Thinking)

A. "Human-in-the-Loop" Architecture (Safety First)

Unlike low-quality scripts that blindly overwrite data, I designed a non-destructive staging workflow:

• Staging State: AI-generated tags are stored in a local frontend state first.
• User Control: Merchants can review, delete, or edit spelling before committing.